基于PNN的发动机PT燃油系统故障诊断  

Fault Diagnosis of PT Fuel System Based on Probabilistic Neural Network

作　　者：邓士杰[1] 崔翔[2] 王东[3] 

机构地区：[1]军械工程学院,河北石家庄050003 [2]解放军国际关系学院,江苏南京210039 [3]解放军理工大学野战工程学院,江苏南京210007

出　　处：《筑路机械与施工机械化》2013年第2期81-83,共3页Road Machinery & Construction Mechanization

摘　　要：针对传统故障诊断方法的局限性,提出了基于PNN的故障诊断方法,并以发动机的PT燃油系统为例,进行了故障诊断研究;通过与常用的BP神经网络进行对比试验,验证了基于PNN的故障诊断方法的有效性。Aimed at the limitations of traditional fault diagnosis methods, a new method based on Probabilistic Neural Network was put forward. The PT fuel system was taken as an example to conduct the research on fault diagnosis. The validity of this method was confirmed by tests and the comparison with Back Propagation Neural Network.

关 键 词：概率神经网络 燃油系统 故障诊断 模式识别 

分 类 号：U415.5[交通运输工程—道路与铁道工程]